This article presents a practical approach to implementing sharding and cold-hot data separation in KES (KingbaseES), a popular relational database in China. It covers partitioning strategies, data migration techniques, and performance optimization tips. The content is particularly useful for data engineers and database administrators dealing with massive datasets. By separating hot and cold data, organizations can reduce storage costs and improve query performance. The article also discusses real-world challenges and solutions, making it a valuable resource for anyone working with KES or similar databases.
Practical guide on KES sharding and cold-hot data separation for large-scale data storage.